Máté Farkas

42 total papers · 944 total citations
24 papers, 592 citations indexed

About

Máté Farkas is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Máté Farkas has authored 24 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 17 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Máté Farkas's work include Quantum Information and Cryptography (16 papers), Quantum Mechanics and Applications (16 papers) and Quantum Computing Algorithms and Architecture (13 papers). Máté Farkas is often cited by papers focused on Quantum Information and Cryptography (16 papers), Quantum Mechanics and Applications (16 papers) and Quantum Computing Algorithms and Architecture (13 papers). Máté Farkas collaborates with scholars based in Spain, Poland and United Kingdom. Máté Farkas's co-authors include Jędrzej Kaniewski, József Csontos, Dávid Mester, Ádám Ganyecz, József Csóka, Zoltán Rolik, Lóránt Szegedy, Gyula Samu, Bence Ladóczki and Mihály Kállay and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Information Theory.

In The Last Decade

Máté Farkas

23 papers receiving 584 citations

Hit Papers

The MRCC program system: ... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The MRCC program system: Accurate quantum chemistry from water to proteins
    2020 353 citations Mihály Kállay, Péter R. Nagy et al. The Journal of Chemical Physics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Máté Farkas 432 205 99 88 63 24 592
Michael Mundt 406 0.9× 65 0.3× 96 1.0× 62 0.7× 44 0.7× 22 610
Stephen A. McDonald 311 0.7× 100 0.5× 43 0.4× 182 2.1× 40 0.6× 10 597
T. M. Dunn 168 0.4× 65 0.3× 80 0.8× 32 0.4× 25 0.4× 22 643
Gerald F. Thomas 411 1.0× 39 0.2× 73 0.7× 97 1.1× 52 0.8× 36 521
Yves Justum 403 0.9× 48 0.2× 69 0.7× 194 2.2× 29 0.5× 21 505
Naoki Nakatani 447 1.0× 42 0.2× 107 1.1× 133 1.5× 19 0.3× 9 563
Luis M. Tel 518 1.2× 42 0.2× 47 0.5× 214 2.4× 32 0.5× 36 673
Alec F. White 438 1.0× 89 0.4× 68 0.7× 104 1.2× 10 0.2× 23 506
Bin Gu 318 0.7× 123 0.6× 105 1.1× 40 0.5× 15 0.2× 33 547
Robert A. Leacock 432 1.0× 52 0.3× 34 0.3× 222 2.5× 94 1.5× 25 671

Countries citing papers authored by Máté Farkas

Since Specialization
Citations

This map shows the geographic impact of Máté Farkas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Máté Farkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Farkas more than expected).

Fields of papers citing papers by Máté Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máté Farkas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Máté Farkas. The network helps show where Máté Farkas may publish in the future.

Co-authorship network of co-authors of Máté Farkas

This figure shows the co-authorship network connecting the top 25 collaborators of Máté Farkas. A scholar is included among the top collaborators of Máté Farkas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Máté Farkas. Máté Farkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026